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Energy estimation of the interaction of a roller vibratory classifier’s blade with crushed rock mass for solving design problems

机译:碾压岩体碎石质量求解设计问题的辊振动分类器刀片相互作用的能量估算

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The roller vibratory classifier is equipped with an impact device for implementing vibro-shock mode, which improves the classification efficiency, especially of viscous and wet materials. The new device is a disk nozzle with blades, which are made like petals of wearresistant polymer. The immersion of a petal at a given depth in a crushed rock mass is investigated experimentally. Theoretical studies includes pair correlation and regression analysis methods. It is obtained that an increase in humidity promotes penetration and leads to a decrease in the energy necessary for impact, whereas an increase in particle size and layer thickness leads to its increase. Analysis of regression equations makes it possible to establish the percentage ratio of influencing factors. The article presents mathematical models of impact energy from variable factors for the initial moisture content of the material, including separately for small classes (-2.5 + 1) mm and further, with variation of all three parameters in the range: layer thickness – 20-40 mm, particle size 1-10 mm, humidity – up to 9 %. The obtained correlation dependencies and regression models are necessary for improving the existing and designing new blade-type roller vibratory classifiers.
机译:辊振动分级器配备有用于实现振动冲击模式的冲击装置,这提高了粘性和湿材料的分类效率。新装置是叶片喷嘴,叶片是耐脂肪聚合物的花瓣。实验研究了在压碎的岩石质量中的给定深度处浸入瓣膜。理论研究包括对相关和回归分析方法。获得湿度的增加促进穿透,并导致撞击所需的能量减少,而粒度和层厚度的增加会导致其增加。回归方程分析使得可以建立影响因素的百分比。本文介绍了对材料初始含水量的可变因素的影响能量的数学模型,包括单独的小类(-2.5 + 1)mm,进一步,在范围内的所有三个参数的变化:层厚度 - 20- 40毫米,粒径1-10毫米,湿度高达9%。所获得的相关依赖性和回归模型对于改善现有和设计新的刀片式辊振动分类器是必要的。

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